CN103765869B - Mixed image is decomposed and projection - Google Patents
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/12—Picture reproducers
- H04N9/31—Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
- H04N9/3179—Video signal processing therefor
- H04N9/3185—Geometric adjustment, e.g. keystone or convergence
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/001—Texturing; Colouring; Generation of texture or colour
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/60—Editing figures and text; Combining figures or text
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/12—Picture reproducers
- H04N9/31—Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
- H04N9/3141—Constructional details thereof
- H04N9/3147—Multi-projection systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/12—Picture reproducers
- H04N9/31—Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
- H04N9/3179—Video signal processing therefor
- H04N9/3182—Colour adjustment, e.g. white balance, shading or gamut
Abstract
Mixed image optical projection system and method can be superimposed the picture content of input picture.Input picture can be divided into smaller subregion, and can determine at least one parameter of each subregion.Can the parameter based on each subregion input picture is resolved into multiple less related orthogonal or quasi- orthogonal image components.Each projecting apparatus can show respective image component, so as to the image that optical superposition projects on screen.The superposition of orthogonal or quasi- orthogonal image component can cause the imaging importing in existing multi-projector image system more insensitive image misalignment projecting apparatus.Being superimposed orthogonal or quasi- orthogonal image can be used for avoiding visual picture from degenerating, and provide more healthy and stronger picture quality in multi-projector system realization.
Description
Cross-references to the relevant application
This application claims entitled " Hybrid Projection for Enhanced Multi-Projector
Display（The hybrid projection that multi-projector for enhancing is shown）", submitted within 16th in August in 2012 the 61/575,117th
The priority of number U.S. Provisional Application, it is incorporated herein entirely through reference.
Technical field
The application is notably directed to image projection system and more specifically（But may not be uniquely）Being related to export
Mutually orthogonal or quasi-orthogonal picture content is for the image projection system that is superimposed in display.
Background technology
Multi-projector system can be used for superimposed image to realize various benefits, such as more high brightness, flicker-free image and
The image of screen door effect with a large amount of reductions.Current multi-projector system is needed between very accurate projecting apparatus（Projecting
Between instrument）Image registration can be from the similar image sharpness of single projector systems realization to realize to sub-pixel level.Use torsion
Bent engine with by one projection scalloping to the image of another projection on current more optical projection systems can be less than one
So done in the precision of pixel.But image registration accuracy may due to systematic measurement error, optical heterogeneity, with the time
Thermal drift and projecting apparatus mechanical oscillation and degenerate.Problem may be such as 4096x2160 in the resolution ratio of projected image（4K）Or
Deteriorate when person is higher, because this resolution ratio may need to be superimposed with finer spacial alignment precision.
May be caused in the image of superposition image degradation another problem may distort an image with another figure
As occurring during matching, because distortion may have the picture quality as caused by digital pixel re-sampling to limit.Digital picture is adopted again
Image degradation caused by sample may due to during re-sampling more or less high-frequency information loss and make image seem it is softer,
It is less sharp keen.
When the dynamic for the image being superimposed in project from the images of the even more more projections of projecting apparatus superposition with further increase more
During brightness range, the alignment precision between the image of projection may become challenging.In such a system, particularly
If image of the image of projection in the projecting apparatus with different images projected resolution, the image being superimposed may more hold
It is subject to alignment to degenerate, and limits the potentiality that increased projecting apparatus number will be utilized to realize in more optical projection systems.
Desirable to provide system and method, it can allow a greater degree of image alignment error of the image of the projection of superposition
And allow perceive superposition image have with such as the identical picture quality projected from a projecting apparatus.
The content of the invention
The picture content that some aspect and feature are related to output input picture is mutual just for superposition, wherein picture content
Hand over or accurate orthogonal.
In an aspect, there is provided a kind of side for being used to change the input image data for mixed image optical projection system
Method.Input image data representing input images.Input image data is divided into by least two figures based on the content of input picture
As subregion.It is determined that the parameter for picture portion, wherein determining at least one ginseng for each picture portion in picture portion
Number.By producing the first picture content and the second picture content based on parameter decomposition input picture.First picture content and
Two picture contents are orthogonal or accurate orthogonal.First picture content is shown by the first display device.Second picture content is shown by second
Show that equipment is shown.Second picture content is superimposed on the first picture content to produce final image.
In another aspect, there is provided a kind of multi-projector system.The multi-projector system includes input, processor, first
System function module, second system functional module, the first projecting apparatus and the second projecting apparatus.Input can receive the defeated of representative image
Enter view data.Processor can handle input image data.Processor can be by being based on input image data come defeated as follows
Go out the first picture content and the second picture content：Image content-based divides an image into picture portion and divided an image into
First picture content and orthogonal with the first picture content or quasi-orthogonal second picture content.The first system functional module can be with
Change the first picture content.Second system functional module can change the second picture content.First projecting apparatus can show modification
The first picture content.Second projecting apparatus may be displayed on the first picture content of modification the second image point for the modification being superimposed
Amount.
Mention these exemplary aspects and feature is not limited to or limited the present invention and is to provide for aiding in understanding
Invention disclosed concept in this disclosure.Other aspects of the present invention, advantages and features will look back entire disclosure
It is made apparent from afterwards.
Brief description of the drawings
Fig. 1 is the flow chart according to the method for mixed image optical projection system of one side.
Fig. 2 is the flow chart according to the multilevel hierarchy and level of the picture breakdown process of one side.
Fig. 3 is according to the use of one side remodeling empirical mode picture breakdown（MEMD）Mixed image optical projection system
The flow chart of image processing step.
Fig. 4 illustrates the picture portion division for being used for the adapting to image based on subregion and decomposing according to some aspects.
Fig. 5 is according to the one-dimensional of the MEMD methods of one side（1D）The chart of cross section example.
Fig. 6 is the two dimension for illustrating the picture breakdown from the MEMD methods according to one side（2D）Sample picture.
Fig. 7 describe according to one side using MEMD the 1D examples of the picture breakdown of a rank chart.
Fig. 8 is to be shown in the result of the conventional projection come under comfortable misalignment and thrown according to the mixed image of one side
The picture that the picture quality of superposition between the result of shadow compares.
Fig. 9 a- Fig. 9 e are shown in condition when rollback operation is used in the MEMD methods according to some aspects.
Figure 10 is the flow chart according to the MEMD methods for wherein handling three-component coloured image of one side.
Figure 11 is the system diagram according to the mixed image optical projection system with dual projector of one side.
Embodiment
Certain aspects of the invention are related to mixed image projecting method and multi-projector system.Substitution is such as more in tradition superposition
The identical image of height correlation is sent in projecting apparatus system to each projecting apparatus like that, according to a kind of mixed image of some aspects
Input picture can be divided into smaller subregion and determine at least one parameter of each subregion by projecting apparatus, be then based on each
Input picture is resolved into multiple less related orthogonal or quasi- orthogonal image components by the parameter of subregion.Each projecting apparatus can be with
Respective image component is shown, so as to the image that optical superposition projects on screen.Even if orthogonal or quasi- orthogonal image
Fundamental property can be differently configured from the fundamental property of original image, but when being superimposed orthogonal or quasi- orthogonal image, picture quality
Can with ideally be superimposed original image when it is substantially the same, or than in multi-projector system slightly misalignment superposition
It is more preferable during original image.The superposition of orthogonal or quasi- orthogonal image can cause the image in existing multi-projector image system
Superposition is more insensitive image misalignment projecting apparatus.Being superimposed orthogonal or quasi- orthogonal image can be used for avoiding visual picture from moving back
Change, and more healthy and stronger picture quality is provided in multi-projector system realization.
By the way that distortion processing applied to the picture content with compared with low spatial frequency and is allowed with higher-spatial frequencies
Picture content do not distort, it is possible to even between Ideal Projector be aligned under conditions of remain to increase image fidelity.It is in addition, total
System diagram is as intensity resolution（Sometimes referred to as it is used for the digital dynamic range of each color）Can be according at least projecting apparatus sum
The factor and increase.Increase image intensity resolution ratio can reduce colour band artifact, also referred to as colored profile artifact.Colour band artifact can
To occur when the step of color and/or brightness changes visible due to low color or brightness resolution.Band artifact may
It is notable when using very high-contrast and high-brightness projection instrument.It can be provided according to the system and method for some aspects for mixing
Close isomery projecting apparatus, such as with different images capability and performance characteristic（Such as different spatial resolutions either brightness lumen or
Contrast）Projecting apparatus flexibility.In dimensional double-projection instrument system, mixed image projection can also uncoupling for 2D
And 3-dimensional（3D）The Lighting control of the different light source power level runtimes of display.Utilize mixed image optical projection system, Ke Yishi
Now 3D light levels are adjusted preferably to meet for the 3D brightness demands demonstrated independently of the optimal setting demonstrated for 2D
Flexibility.Demonstrated for 2D, mixed image projecting method can shown the image of superposition by multiple projecting apparatus and be superimposed
Image between Existential Space misalignment when improve display picture quality robustness.For example, using according to for the use of some
The dual projection system of mixed image projecting method can show better image quality, or at least display with showing the phase being superimposed
With the dual projection system identical picture quality of two images in image.For the mixed image projection for the image for showing superposition
Method and system can avoid producing the worse picture quality of conventional projection than being superimposed identical image.In multi-projection display system
Middle using mixed image projecting method can a kind of be used to improve the low-risk solution of picture quality.Mixed image projects
More optical projection systems can be enabled to combine the benefit from both more optical projection systems and single optical projection system and avoid the two
Shortcoming.For example, mixed image optical projection system can create the image of superposition, wherein image sharpness projects similar to single projector
Image image sharpness, but can have increased brightness of image and the image screen door artifact of reduction.
These schematic examples are provided to introduce main subject matter content discussed here to reader and is not intended to limitation and appoints
The scope of what claim.Paragraphs below describes various additional aspects and example with reference to the accompanying drawings.
Fig. 1 is block diagram of the diagram according to the method for mixed image optical projection system of one side.Mixed image projects
System can include the optical projection system of more than one projecting apparatus.Each projecting apparatus can be same type or can be each
Different type.For the multi-projector display system with n projecting apparatus, n projecting apparatus can be with display image and be screen
On final image contribute.N image can be superimposed to lift brightness of image.In traditional Double-number optical projection system, each
Projecting apparatus is same type, shows identical image and needs calibration process to be precisely directed to image.Periodically repeat school
Quasi- process is to maintain optimum image display performance.After optimally optical projection system is calibrated, performed in warping operations
Image detail loss is introduced in the final image that digital re-sampling may be shown on screen.If using more multi-projector,
Image detail loss may be increased.A number of factors may cause the spacial alignment between the image of superposition to change over time.So
Factor can include thermal vibration and mechanical oscillation.Can be by using processor according to the mixed image projecting method of some aspects
The different images component collection that calculating each projecting apparatus can show for the image of superposition changes to picture quality to help to reduce
Influence.
If two picture altitudes being applied it is similar and there is related figure in the spatial domain or in a frequency domain
As information, then due to their nonorthogonality, expression can highly nonzero sum be overlapping and may cause to exist from a figure
The bulk information component of image space to another image space is overlapping.May be in the final folded of display from the slightly displacement of spacial alignment
Cause a large amount of spatial distortions and spurious frequency com-ponents in the image added.Cause this information overlap of spatial distortion can be from Fourier
Explained in terms of transformation theory.
In linear system, if two images are superimposed in the spatial domain, the two images are also superimposed in a frequency domain.Fu
In the displacement that may indicate that in the spatial domain of leaf transformation theory can be converted to the Fourier transformation of signal is multiplied in a frequency domain
Mutually transposition.If two signals in their Fourier transformation non-trivial it is overlapping, this may be to the letter being finally superimposed
Number（That is image）Add distortion.In order that system is insensitive or substantially insensitive to shifting, two signals can have most
The frequency of smallization is overlapping.If for example, two signals（That is picture content）Mutually orthogonal, then spatial registration precision can be to final
The signal of superposition has minimum influence.If their standards are orthogonal, the susceptibility to space relative shift can be reduced.
If two picture signals are normalized and the space 2D convolution of two picture signals（Mathematically it is also referred to as inner product
Or dot product）Close to constant or 0, then the two picture signals are properly termed as mutually orthogonal or accurate orthogonal.When in two Fu
Leaf transformation is multiplied close to the increment in addition in frequency zero being everywhere zero（delta）During function, it can also represent orthogonal
Relation.Two orthogonal or quasi- orthogonal images can generally show less similitude in the spatial domain and in a frequency domain more
Few non-intersect property.
Assuming that two images are f and g, the Fourier transformation of each image is F and G respectively.Orthogonality measurement can be (f*
G) (x)=∫ ∫ f (y) g (x-y) dy=c or FG=c δ (ω).View data can be generated or with such as phase by computer
Imaging sensor capture in machine.The view data generated by computer can be generated, so as in the mixing according to some aspects
When image projecting method is applied to the view data of computer generation, ideal quadrature picture content can be calculated for display.
In some cases, view data do not make it possible to generate ideal quadrature picture content and it may be possible to by
(f*g) (x) ≈ c or FG ≈ c δ (ω) and generate quasi- orthogonal image component.In order to be superimposed an alignment orthogonal image, Ke Yi great
It is big to reduce susceptibility of the picture quality to spatial displacement.The measurement of orthogonality can apply to when one of two signals are not correct
Exception when ground normalization is in 0 to 1 scope.In this case, the measurement of above orthogonality still can be used for commenting
Estimate the unwise sensitivity of displacement.
For example, an image F only includes low-frequency information（I.e. it does not have in threshold frequency ωTAny information above）,
And another ideal image G be present, the ideal image only includes high-frequency information so that it does not have in ωTFollowing any letter
Breath.Due to the dot product FG=0 of two images, so F and G are orthogonal images.Sky between the orthogonal image of two superpositions
Between relative shift can have minimum influence to the picture quality finally shown.As long as FG very littles（Therefore it is accurate orthogonal）, low frequency
Image and high frequency imaging can be insensitive to a small amount of registration error in superposition.But it is likely difficult to two images as acquisition
Component, one of them is only in ωTMore than frequency component and one have in ωTFollowing frequency component.
In another example, in threshold frequency ωTFollowing image information is referred to as low-frequency information, and in ωTFigure above
As information is referred to as high-frequency information.F is the intermediate frequency component being only contained between lower threshold frequency and upper threshold frequency（ωT1To ωT2）
Band logical image, wherein ωTIn ωT1With ωT2Between, and another image G is included in the frequency beyond the frequency of image F coverings
Rate, these frequencies are included in lower frequency threshold value ωT1Following frequency and in upper threshold frequency ωT2High frequency above.In this feelings
Under condition, both F and G include some part of low-frequency information and some part of high-frequency information.By adjusting threshold frequency ωT1
And ωT2, F and G can have low frequency capabilities and any combinations of high-frequency energy.F and G can not have notable low-frequency information or
High-frequency information.Using this example image signal pair, due to FG also very little, so for two superpositions picture contents it
Between the susceptibility of alignment error can become very low due to quasi- orthogonality.
In another example, image F is regular image, and image G is not normalized but has very small amount
Value.Due to FG very littles, it is possible to reduce the susceptibility to the alignment error between the picture content of two superpositions.
In another example, both two images F and G only include low-frequency information（That is, image do not have identical or
Any information more than person's difference threshold frequency）.Depending on how low threshold frequency have, FG can be except for very close zero
Frequency outside all very littles --- it is similar to increment function.Due to this orthogonality surely, to two superpositions picture contents it
Between the sensitivity of alignment error can be very low.
In another example, both two images F and G include the low-frequency information of some quantity（I.e. image has in phase
Information below same or different threshold frequencies）.One image also has high-frequency information.In this case, FG can be with pin
To all very little in addition to very close zero frequency --- with increment function like.Due to this orthogonality surely, to this two
The sensitivity of alignment error between the picture content of individual superposition can be very low.
In another example, both two images F and G only include high-frequency information（I.e. image do not have identical or
Any information below different threshold frequencies）.Depending on threshold frequency have it is how low, FG can near low frequency very little and more
It is very big at high-frequency.These images can be mutually less orthogonal, and the alignment between the picture content of two superpositions is missed
The sensitivity of difference may be very high.
In another example, the normal frequency information of an image F scope from low to high, and another image G is
Normalized white noise acoustic image（I.e. G is constant）.FG can be proportional to F and may not be close to increment function.Image phase
It is mutually less orthogonal, so as to which the sensitivity to the alignment error between the picture content of two superpositions may also be very high.
In the mixed image projecting apparatus according to some aspects, processor can resolve into input picture to be projected for n
N quasi- orthogonal image signals of instrument optical projection system.This n signal can be mutually almost orthogonal, so as in the quasi- orthogonal graph of superposition
The slightly displacement of spacial alignment as between will not cause the deteriroation of image quality of big perception.The composograph of the image of superposition
Can have with dual projection system superposition two original images are identical or better image quality, and composograph can be with
Original image than being shown from single projector is brighter.The picture breakdown algorithm used in hybrid projection instrument can be in mathematics
The following constraint of above accurate and offer, the constraint cause picture content value to be non-negative and in each display or projecting apparatus
Brightness range ability in.
In Fig. 1, from image player server to can implement according to the more of the mixed image projecting methods of some aspects
Projector display system sends the original input picture data shown for 2D（105）.Input picture can be gamma correction simultaneously
And it can be considered as in gamma correction space.The image of gamma correction can be decoded in linear color space by gamma（107）
For subsequent step and algorithm.After view data is transformed into linear space, image analysis algorithm can be used for true
Surely how multiple images subregion can be divided an image into based on image local content（110）.Picture portion can have identical
Size or different size.Such as in an aspect, 3x3 image pixels square partition can be used for dividing an image into rule
Block grid, so as to cause each picture portion that there are formed objects.In another aspect, subregion decomposition algorithm can be used for inciting somebody to action
Image is divided into irregular piece of grid, such as quad-tree structure, wherein smaller subregion can be in the image-region of twinned grooves physics and chemistry
In show, sparse, larger subregion can occur in the image-region of relative smooth.Processing based on picture portion can help
The parameter of picture breakdown wave filter is adjusted to be adapted to local image content.If for example, sky is used in picture breakdown algorithm
Between low pass filter, then this low pass filter cut-off frequency selection can be proportional to local image content frequency distribution, from
And the local frequencies separation of optimal balance is obtained, this may be useful for reducing the abnormal pixel of artifact.Abnormal pixel can be
There is the pixel of dramatically different value relative to other image pixels.Smaller subregion can allow preferably to track local high-frequency spy
Sign, and larger subregion may adapt to the region of sparse features and relative smooth.Image content-based divides an image into subregion
Adaptive optimal control can be provided in the local image content for picture breakdown algorithm（115）And by signal decomposition into minimum correlation
With the picture content of balance, or referred to as quasi- quadrature component.The quasi- quadrature component of image based on subregion is decomposed and can help to reduce
The number for the pixel that may retract and improve total picture quality.Rollback pixel can be those following pixels, and these pixels include
Frequency image information and be assumed in one of picture content but with exceeding normalized max-thresholds（Display device
Constraint）Value.For rollback pixel, more than max-thresholds value quantity can return back to it is unsaturated relative to max-thresholds
Other picture contents.Rollback pixel can be the source of the artifact in the picture content of projection and such as in case of misalignment
It is then the source of colour artefacts if fruit projecting apparatus is uneven on brightness, color and pixel size.It can change and be identified as
The pixel of rollback pixel is to prevent pixel artifact from occurring in the image of the superposition of display.
Block（115）Can be useful for picture breakdown.Picture breakdown can resolve into each projection including adapting to image
Multiple quasi- orthogonal image components that instrument can be shown.As described previously, there may be for constructing quasi- orthogonal image point
If the drying method and mode of duration set.In an aspect, remodeling empirical mode decomposition can be used（MEME）Method.But
It can realize that quasi- orthogonality is decomposed using many other methods with similar manner.
In n projecting apparatus systems, after MEMD picture breakdowns, the first picture content L0Can include have low-frequency band and
The input image information of the combination of high frequency rollback pixel.Other figures of the detailed information of different stage included in different frequency bands
As component can be identified as L1、L2To Hn-1.This other picture content according to one side are discussed in greater detail below in relation to Fig. 2
With the mark of the level of picture content.Each picture content can include the part for the input picture being applied in picture portion certainly
Different space frequency component caused by adaptive filtering process.One kind of picture breakdown algorithm is discussed in greater detail below in relation to Fig. 3
Method.
Input picture is resolved into it is multiple separation decompose picture contents after, can be via the additional image of separation at
The projecting apparatus of line of reasoning radial separation（130,135,137）Each picture content is provided for being shown on screen.At additional image
Line of reasoning footpath（120,125,127 and 140,145,147 and 130,135 and 137）In each image processing path can be with similar
Mode handles the picture content that separation is decomposed.The picture content each decomposed can be first in each picture portion in block
（120,125,127）Place passes through HDR（HDR）Bracket function R is handled to improve whole mixed image projecting apparatus system
The luminance dynamic range of system represents ability or color resolution.The picture content of decomposition after HRD bracket functions can lead to
Cross for the registering geometric warping process based on pixel between projecting apparatus to change and using gamma correction for display.Each
Member's projecting apparatus can receive and show each picture content for handling and correcting in block 130,135 and 137.Block 180 represents
When picture content is projected and the image of Improved synthesis in optical superposition on screen.
In an aspect, can implement in image processing equipment or image intensifier hardware block 107,110,115,
120th, 125 and 127.Block 130,135 and 137 represents the image procossing in each projecting apparatus, and the image procossing is used in screen
Upper display image is to produce composograph（180）.
Fig. 2 illustrates the multilevel hierarchy and level of the picture breakdown process of the block 115 in Fig. 1 according to one side.Image
It can be MEMD decomposition algorithms to decompose core algorithm.MEMD decomposition algorithms can in multistage exploded view picture.Every grade decompose can be with
By input picture（Also referred to as intrinsic mode function（IMF））It is divided into two picture contents --- one is when prime, minimum modulus
Formula image, and another is next stage IMF images.For optical projection system application, the input image data of reception（205）Can be
In linear space.For dual projector system, it is necessary to which one-level MEMD is decomposed（210）.Assuming that k represents decomposition level, k=0.First figure
As component is L0（214）, the second picture content is H0（215）.For the projecting apparatus system with more than two projecting apparatus, MEMD
Next stage k=1 can be continued to decompose（220）To produce the first picture content of next stage L1（224）With the picture content of the second level second
H1（225）.In this one-level MEMD, the second picture content of previous stage H0It is changed into the IMF when prime.In rank k=1, three points are exported
The picture content of solution, these picture contents are picture content L0（214）、L1（224）With picture content H1（225）.Two-stage MEMD can
For three projecting apparatus mixed image optical projection systems.If using four or more multi-projector, the third level or more
MEMD can be used for generating new images component（230）.In rank k=2, picture content H1（225）It can become to be used for next stage
（Rank k=3）The new IMF decomposed, until generating picture content for each projecting apparatus.For n projecting apparatus hybrid projection systems, n-1
Level MEMD picture breakdowns can be used for generating the image of n decomposition, and these images are L0（214）、L1（224）、L2、…Ln-1
（234）And Hn-1（235）.Multistage MEMD can form binary tree formula and decompose level, wherein each intergrade generates output node figure
As Lk, afterbody IMF detail pictures HkExcept, the IMF detail pictures can be the node image of output.
Fig. 3 diagrams will remodeling empirical mode picture breakdown（MEMD）The figure that mixed image for n projecting apparatus systems projects
As processing step.Assuming that the input image data from Play Server, in gamma correction space, and initially, MEMD exists
First order k=0（305）, image can decode by gamma and be converted into linear space image X first（307）.
, can be when prime k is by the picture breakdown in each subregion after view data is transformed into linear space
Into two picture contents.Assuming that linear space image is X, two picture contents are L and H respectively, and the image being finally superimposed
2X, it is desirable to picture breakdown method can meet the following：
1）Orthogonality or quasi- orthogonality：The Fourier transformation of component meets or substantially met F (L) F (H)=δ
(ω)；
2）On the image fidelity of original image and complete：For any image pixel positions p, L(p)+H(p)=2X(p)；
3）Nonnegativity restrictions：L(p),H(p)>=0；
4）The actual limitation of brightness：L(p),H(p)<=1；
5）Local auto-adaptive：Decomposition is optimally adapted in topography's property；And
6）Luminance balance controls：Mean (L)=α mean (H), wherein " mean () " representative image component is average bright
Degree；α is by desired ratio predefined and more than zero.
In an aspect, spatial domain MEMD decomposition methods can be used for picture breakdown into two by hybrid projection system
Picture content（L and H）.In some implementations, following steps can be used：
1）For given input 2D image X, it is determined that being divided into the optimum way of space partition zone.
2）In each predefined space partition zone, input picture X local minimum and its position are determined；
3）Determine balance factor b and change each local minimum by the way that each local minimum is multiplied by into b.
4）The local minimum of modification is interpolated into low frequency surface as the first picture content L so that the image of superposition
2X value is not less than the first picture content L value（That is L=min (L, 2X)）.
5）From the image 2X of superposition value subtracted image component L value to obtain the second picture content H value（That is H=2X-
L）, second picture content can be orthogonal with picture content L standards, because F (L) F (H)<F(X)2, wherein " F () " represents Fourier
Transform operation.
6）Detect the component value when picture content H value is more than T（Wherein T is X maximum value possible）, and image point
Excessive value in amount H return back to picture content L value（I.e. at L=L+max (H-T, 0)）.Picture content H is more than situation during T
May be very rare.
Describe below based on the projection mixed above decomposed using MEMD.Can using the image analysis algorithm of pre-defined function
With for determining how image can be optimally divided into multiple images subregion based on image local content（310）.Image point
Area can have formed objects or different size.Such as in an aspect, square 3x3 pixel partitions can be used for image
The block grid of rule is divided into, so as to cause each piece of picture portion that there are definite formed objects.In another aspect, quaternary tree
Structural formula subregion decomposition algorithm can be used for dividing an image into irregular piece of grid, wherein some smaller piece subregions can be
Occur in the image-region of twinned grooves physics and chemistry, and relatively large subregion can occur in the image-region of relative smooth.
It is determined that after picture portion, at least one for each subregion can be identified in each subregion or block subregion
The position of individual parameter, such as 2D local minimums and those minimum values（315）.If image is coloured image, can be directed to
Each color component that coloured image includes（Such as RGB, XYZ）Determine minimum value.Minimum value and its position can be defined
For the equal value of the minimum value in the image block subregion with them.These values are properly termed as 2D local minimums, and they
Position is properly termed as Local Minimum position.As a result can be the irregular mesh grid M of 2Dk, the grid has to be divided for each block
Value position in the known local minimum in area and the block subregion, wherein the other positions in block subregion have it is undefined
Value.This mesh grid can be used for generating input 2D images X continuously smooth lower boundary surface and can be used to decompose
Level k the first picture content LkInitial estimation.
In a block 320, it may be determined that luminance balance factor bk.Luminance balance factor bkCan be each for being controlled automatically at
At MEMD levels k to two decomposition picture content L and H average image brightness balance.Every grade of MEMD can have its own
Separate luminance balance factor.It is flat between the picture content L and H of two decomposition in the one side of dual projector system
Equal brightness of image can with it is identical or mutually very close to.Can be minimum to the balance of left projecting apparatus and the brightness of image of right projecting apparatus
Change the thermal drift between left projecting apparatus and right projecting apparatus, this can minimize image registration or alignment error and allow to turn round
It is bent when being calibrated recently with system as effectively work.It is can realizing further advantage is that between left image and right image put down
The thermal drift of weighing apparatus can minimize the registration degeneration during dual projector is set.It is unbalanced between left projecting apparatus and right projecting apparatus
Thermal drift can cause uncertain misalignment to degenerate.It can be calculated as below for every kind of color of image i for decomposition level k's
The luminance balance factor：
Mk,iIt is in previous block（315）The irregular net of the image channel i in rank k of middle calculating 2D local minimums
Shape grid.Xk,iIt is the input i channel image values in rank k.Such as bki=1 means the mean flow rate phase of L and H picture content values
Together.τ is final luminance balance factor bkiPredefined threshold value or limitation.When mean (X) is the number of very little, luminance balance because
Son can be very big and can be limited to τ value.This brightness artifact that may not want that for minimum is probably useful.
It is determined that luminance balance factor bkAfterwards, 2D local minimums mesh grid MkCan be with bkIt is multiplied to be retrofited
2D Local Minimum mesh grids Mk’（That is Mk’=bk·Mk）（315）.The output data of block 315 can be used for generating input 2D images
X continuously smooth lower boundary surface, it can be the first picture content L for decomposition level kk。
In block 325, it can be performed by using linear or nonlinear method from Mk' arrive LkInterpolation.Describe below
The example of linear interpolator and non-linear interpolation device, but interpolation is not limited to exemplary algorithm --- it can use any linear and non-
Linear dispersed data interpolating algorithm.
In an aspect, fast linear interpolation device can be used for the 2D local minimum mesh grids M that will retrofitk' smooth
Ground is interpolated into smooth Surface Lk.This interpolation device is Linear Triangular shape interpolation device.For each non-minimum value, it is determined that in Mk' in
The undefined pixel of value, nearest three known neighbor pixel P1、P2And P3.These three neighbor pixels P1、P2And P3It can be formed
Triangle.Unknown pixel v and its neighbor pixel have value and coordinate v (x, y), v1(x1,y1)、v2(x2,y2) and v3(x3,y3),
So as to：
Above linear system can be solved to find out value v；A, b, c are variables.
In another aspect, Clough-Tocher methods can be used（What is such as illustrated in following bibliography is vertical
Square triangle interpolation device：Isaac Amidror,“Scattered data interpolation methods for
electronic imaging systems:A survey, " Journal of Electronic Imaging, 2002 4
Month）.The identical triangle neighbor pixel around interpolating pixel can be found out, and can be by original triangle P1、P2And P3Enter
One step splits into minimum Bezier patch.v1,v2,v3Can be P respectively1、P2And P3Three of three summits values.b3,0,0,
b0,3,0,b0,0,3Can be P1、P2And P3Barycentric coodinates.b1,1,1Can be the barycentric coodinates of interpolating pixel.b1,2,0,b2,1,0Can
To be to be located at triangle edges P1P2On two control points barycentric coodinates.b0,2,1,b0,1,2Can be located at triangle edges P2P3On
Two control points barycentric coodinates.b1,0,2,b2,0,1Can be located at triangle edges P2P3On two control points center of gravity sit
Mark.The position at control point can be according in P1、P2And P3The cross-border derivative constraints at place determine.Following formula can be used to calculate
Position b1,1,1Interpolation value v：
In another aspect, non-linear interpolation can also be used.The example of non-linear interpolation device is that irregular bilinearity is inserted
It is worth device.For each non-minimum value, it may be determined that in Mk' in the undefined pixel of value, nearest four known neighbor pixel P1、
P2、P3And P4.This four neighbor pixels can be with P1、P2、P3And P4Form border quadrangle.Unknown pixel v and neighbor pixel P1、
P2、P3And P4Can have value and coordinate v (x, y), v1(x1,y1)、v2(x2,y2)、v3(x3,y3) and v4(x4,y4)." A " can be
When vertical coordinate is equal to y in side P1P3On point." B " can be in side P when horizontal coordinate is equal to x1P2On point." t " can
To be from P1To A distance, and " s " can be from P1To B distance.P value can be determined by following formula：
V=v1(1-s)(1-t)+v2s(1-t)+v3(1-s)t+v4st （4）
Furthermore it is possible to s and t value are calculated by the linear interpolation on any side of pixel pair.Wherein a pair or
Person is more in the situation parallel to the side of quadrangle, can use with（4）Different and simpler formula.
In another aspect, non-linear and Fast Interpolation method can be used for realizing for real-time speed and good image matter
The simplification of amount.Method can be the recurrence inverse injection interpolation by more kernel Gausses（RIMG）.
Once from previous block（315）Calculate Mk', rank k modification 2D local minimum mesh grids, can be in block
Interpolation Surface L is quickly calculated by nearest-neighbors interpolation device in 325kInitial estimation.Such as can be to Mk' in it is undefined
Pixel value fills nearest-neighbors value（That is the minimum value for the picture portion that they belong to）.The surface of estimationCan be following pass
Reduction method（RIMG）Starting point（j=0）.Caused image can be by with the first larger kernel size and the first larger west
First standard 2D Gaussian filters of lattice value of gamma are filtered.Filtered image can be blurred picture.In this fuzzy graph
Pixel value as in cannot be less than input picture X.Caused imageCan be original most by using following formula, inverse injection
Small value and be updated, wherein j be recurrence index：
G (*) is gaussian filtering.W is iteration sum.After final iteration,It is first
Picture content.
The lower boundary surface of smooth interpolation is obtained as the first picture content L in decomposition level k in block 325kAfterwards, can be with
By calculating image (n-k) X and picture content L of desired superposition in block 330kDifference be Hk=(n-k) X-LkTo estimate
Two picture content Hk.Due to LkIt is local minimum, so HkCan be that just this can meet nonnegativity restrictions.In block（335）In,
The second picture content H can be analyzedkTo check it using brightness restriction（That is picture content HkA throwing cannot be more than
Shadow instrument can caused brightness）.Assuming that T is the X of single projector maximum value possible, and Δ=max (Hk-(n-k-1)T,
0), then Δ can be backoff diagram, and the backoff diagram can be zero.In block（345）In, backoff diagram can be checked to determine if it is
Zero.If it has at least one nonzero value, present image decomposition in pixel retract be to ensure that the degree of accuracy and
Complete property（That is image fidelity and complete）.Backoff diagram Δ can be used in block together with input picture（340）Middle modification is previous
The the first picture content L calculatedkWith the second picture content.First picture content LkL can be becomek=Lk+Δ.As a result can return
Return to block（330）For utilizing the first picture content L newly updatedkCalculate the second picture content HkWhen another iteration.Can be with
Repeat in block（335）In calculating and in block（345）In backoff diagram inspection.Circulation can continue until in block（345）In
Backoff diagram is zero.Then in block（350）Check whether and decomposed picture content.If it is not, then process may return to block
（310）To continue next stage decomposition algorithm with k=k+1, and work as the second picture content of prime HkIt can become in block（390）
In the input picture that further decomposes.
In block（350）In picture breakdown last iteration complete after, picture content can be provided to block（355,
365,375）, it is respectively used to HDR processing, the scalloping for spatial registration and the gamma correction for display.Through processing
Picture content data L0、L1、…、HkBlock can be provided to（360,370 and 380）, show respectively for each projecting apparatus on screen
Show.
In block（355,365 and 375）In HDR processing can realize increased number in n projecting apparatus hybrid projection systems
Word dynamic range.By the way that HDR bracket functions are applied into each picture content, the image finally combined can obtain raising one
Precision, wherein assuming there is the input picture of HDR bracket functions enough pixel value accuracy and each projecting apparatus uses
12 signless integer data.In certain aspects, it can be assumed that projecting apparatus produces same brightness.In in other respects, when every
Individual projecting apparatus can similarly derive different HDR bracket functions when producing different brightness.HDR bracket functions can be used for just
When handling and round bracket function collection of each picture content pinpoint accuracy pixel data for 12 projecting apparatus integers so that final
The image of superposition can have about 12+log2The pixel value resolution ratio of n positions.For example, dual projector system can deliver 13 digits
Word dynamic range.Three projecting apparatus systems can deliver 13.585 bit digital dynamic ranges.
In dual projector system, the pinpoint accuracy pixel value for the first projecting apparatus can be XL, and for second
The pinpoint accuracy pixel value of projecting apparatus can be XR.HDR bracket functions collection can be designed so that the value of two picture contents to be rounded
Into the two 12 signless integers of the first picture content L and the second picture content H so that final L+H can have 13
Precision.In order to realize the precision, the HDR bracket functions for 13 can be as follows：
1）For projecting apparatus 1, L=floor (XL+XR-floor (XR)+0.25)
2）For projecting apparatus 2, R=floor (XR+XL-floor (XL)+0.75)
For n projecting apparatus systems similarly, pinpoint accuracy pixel value can be Xi, i=0,1,2 ..., n-1, and every
12 bit image data in individual projecting apparatus can be P0、P1、…Pn-1.For (12+log2N) the HDR bracket functions of position can be：
For projecting apparatus i,
The picture portion subdivision side for being used for the adapting to image based on subregion and decomposing according to one side is illustrated in Fig. 4
Two examples of method and arrangement.Using fixed subregion window size come divide an image into smaller subregion, such as subregion 11,12,
, 21,22,23 ... and 44 regular grid 13,14.In another aspect, tree structure subregion decomposition algorithm can be used for scheming
Subregion as dividing all size for being shaped as irregular grid, wherein some smaller subregions（Such as subregion 1,2,4,5）Can be with
Occur in the image-region of twinned grooves physics and chemistry, and larger subregion（Such as subregion 0,3,6）Can be in the image district of relative smooth
Occur in domain.
Self-adaptive processing based on picture portion can help to adjust the parameter of picture breakdown wave filter to be adapted to part
Picture material.If for example, use spatial low-pass filter, this LPF in an example of picture breakdown algorithm
The selection of the equivalent limit frequency of device can be proportional to local image content frequency distribution, so as to cause the part of optimum balance
Frequency separation, the local frequencies separate the abnormal pixel that can reduce artifact.Smaller subregion can allow to follow local high-frequency special
Sign, and larger subregion may adapt to sparse features and smooth region.Image content-based divide an image into it is identical or
Different size of subregion can be provided to the adaptive optimal control of local image content for picture breakdown algorithm, and input is schemed
Picture content as resolving into minimum correlation（Such as quasi- quadrature component）.The quasi- quadrature component of image based on subregion is decomposed and can helped
Help reduction to retract and number of pixels and improve total picture quality, because rollback pixel is probably counterfeit in projecting apparatus misalignment
The source of picture, and be then colour artefacts source when uneven on brightness, color and pixel size in projecting apparatus.
Fig. 5 pictorial images decomposition methods MEMD's is one-dimensional（1D）Cross section example.Line 502 can be represented in about 120 Hes
220 have the first picture content to retract.Line 504 can be and quasi-orthogonal second picture content of the first picture content.First
It can be added to rebuild primary signal with the second picture content line 502,504, be represented by the line 506 with sampled point.Image slices
Plain value can be same ratio and in the regular scope from 0 to 1.
Describe the picture breakdown example from MEMD in figure 6.Left side is the first picture content decomposed, and right side is
The second picture content decomposed, second picture content include more high-frequency informations.
The 1D examples that Fig. 7 diagrams MEMD first order image decomposes.Vertical pivot represents pixel value, and horizontal axis repre-sents pixel position
Put.Received image signal is curve 710.In iteration 0, intrinsic mode function 1（710）Local minimum 720 be located at surface
It is interpolated into 730 and smoothly in surface 730.Residual value curve shown in Fig. 7 bottom（750）It is from input signal 710
Subtract the result on surface 730.
Fig. 8 shows example results for comparing.Being on Fig. 8 left side can be by the double-throw for the image for showing identical superposition
The image that shadow system is shown, and on Fig. 8 right side be can be by the figure that is shown according to the dual projector system of some aspects
Picture, such as wherein apply the mixed image optical projection system of MEMD methods.Utilize the image of two displays of each dual projector
There is the misalignment of 3 pixels between the image of superposition.Image right has sharper keen image than left-side images.
Fig. 9 a- Fig. 9 e are shown in the various conditions that rollback operation can be used in the MEMD methods according to some aspects.Return
Moving back can be with the precision and fidelity of the image of assisted reconstruction.Fig. 9 a and Fig. 9 b show curve 910,940, and these curves represent and come from phase
With the value of the input image pixels of two superpositions of two projecting apparatus in projecting apparatus.It is bent that curve 920,950 distinguishes representative image
First picture content L of line 910,940.The vertical level representation of curve is directed to each space pixel position represented in horizontal direction
The linear space intensity of the image pixel put, represented with code value.Input pixel value can be with for the curve in Fig. 9 a and Fig. 9 b
In 0 to 1 scope.Contrast " c " can represent the difference of two pixel intensity values shown in Fig. 9 a- Fig. 9 e.In fig. 9 a,
Be not used and retract, such as because contrast between the first picture content value and the input image pixels value being superimposed be equal to or
Less than 0.5.In figure 9b, the part 960 of input picture has the high-contrast more than 0.5, and uses rollback.
Fig. 9 c, Fig. 9 d and Fig. 9 e represent three kinds of rollback situations, and wherein the vertical level representation of curve is in the horizontal direction
Each space location of pixels of upper representative, the image 2X of the superposition represented with code value image pixel intensity.Fig. 9 c are illustrated
Complete rollback situation, wherein the input picture being superimposed has the intensity level equal to 2.For this case, the first image decomposed
Component L value and the second picture content H decomposed value are 1.The depicted portion rollback situation in Fig. 9 d.For this case,
The input picture 980 of superposition has the intensity level between 1 and 2.The first picture content value decomposed can be in 0 and input picture
Value between.Second picture content decomposed can be 1.Contrast in this case can be between 0.5 and 1.Fig. 9 e
Diagram is without situation is retracted, wherein the input picture 990 being superimposed has the intensity level no more than 1.The first picture content value decomposed
Can be between 0 and 1, and the second picture content value decomposed can be between 0 and 1.Contrast in this case can
With no more than 0.5.If contrast is equal to 1, rollback can be retracted completely.In this case, to first decompose
After adding rollback pixel in picture content, the immunity of the spatial displacement of mixed image projecting apparatus is return back to and in dual-projection
Identical image identical picture quality is superimposed in system.Mixed image projecting apparatus will not introduce additional artifact.Other situations be as
Current partial rollback is being backed out shown in figure.Partial rollback may be caused to the spatial displacement in mixed image projecting apparatus
Benefit as immunity is reduced, but shows that mixed image and the dual projection system for showing two images of identical are more usual
The picture quality finally rebuild can be improved.
Coloured image can also be handled.Figure 10 diagrams show MEMD methods for handling one of three-component coloured image
Example.In certain aspects, the process can be used for decomposing coloured image to reduce when mixed image projecting apparatus undergoes larger pixel
There is the risk of colour artefacts during displacement.Most colour artefacts can come from rollback pixel, mixed image projecting apparatus experience compared with
During big pixel shift, if by each Color Channel of MEMD method independent process, these rollback pixel performances are random color
Color artifact.Figure in Figure 10 be a kind of rollback pixel being to ensure that in coloured image have with it is consistent in original image
Color method.Coloured image X is received in block 1005, wherein Xr, Xg, Xb is three color components.Block 1010,1020 and
1030 using the MEMD methods of description so that each color component images are resolved into the first picture content candidate.Block 1015,
1025 and 1035, the second quasi- orthogonal image component is generated, and calculate backoff diagram.Three backoff diagrams are collected in block 1040, so
Afterwards by the way that original pixel value is summed to divide each pixel of each backoff diagram with small constant c, the constant can be chosen
Into the half of the discrete quantization steps no more than image intensity.It can be selected in block 1060 and using between three colors
Maximum pixel with original pixel value and constant than c's and to be multiplied to obtain the new of the rollback pixel value for being used for three colors and estimating
Meter.The rollback pixel of new estimation can form new backoff diagram together, wherein each pixel retains its original tone value most,
And colour saturation or illumination may change.As long as this new backoff diagram is non-zero, it is possible to each first first image
Component adds back new backoff diagram.Because addition retains the fallback value of tone, so the pixel changed in the first picture content can
To retain original appearance, and intensity and colour saturation can change.After the procedure the procedure, under big image misaligned situations
Overall colour artefacts can be reduced and less visible.
One example of hybrid projection of Figure 11 illustrated positions in theater 1100.Can be with seat 1125 in a row
The image of superposition is shown on screen 1110 in auditorium 1120.There is provided according to one side with the double-throw for being capable of hybrid projection
The projection booth 1105 of shadow instrument.Two projecting apparatus 1104 and 1106 include the figure can with the processor for being used to handle view data
Image intensifier equipment 1180 and 1185.In in other respects, image intensifier may reside in a projecting apparatus and export
The view data that will be shown by another projecting apparatus.View data from image data server 1175 can be by processor 1170
Receive to perform picture breakdown and orthogonal or quasi- orthogonal image component, such as L and H can be produced.Perform picture breakdown
Processor can also perform other processes, such as subregion decomposes and view data is gone into gamma to linear space.View data takes
Business device 1175 can be the view data of playback apparatus or reception and storage from remote location stream input.From picture breakdown
Picture content can by each projecting apparatus system function module 1160 and 1165 receive, wherein additional image can be performed
Data processing, such as HDR either gamma correction or distortion.In in other respects, system function module may reside in one
In an image intensifier in projecting apparatus.The process of system function module can be held by one or more system function module
OK.Then view data from system function module can be projected to by each projecting apparatus by projecting lens 1140 and 1150
With the image of formation superposition on screen 1110.In certain aspects, dual projector is to be used for 2D demonstrations and/or can use respectively left
The hybrid projection system of 3D demonstrations is projected with eye image coding unit 1135 and 1145.Viewer in 3D demonstrations can wear
To the glasses for the left and right eye image decoding for projecting and encoding.During 2D is demonstrated, left and right eye Image Coding list can be removed
Member 1135 and 1145.In 3D demonstrations, input image data is resolved into figure the hybrid projection in being demonstrated unlike 2D
As component.Image intensifier devices 1185 and 1180 can by user configuration or can automatic detection image real time transfer when
For the 2D demonstrations with or without mixed processing and when it is used for 3D demonstrations.
One or more system discussed here is not limited to any particular hardware framework or configuration.Computing device can be with
Any appropriate arrangement including such as lower component, these parts provide the result to one or more input regulation and control.It is appropriate to calculate
Equipment includes the computer system based on multi-purpose microprocessor, and the software of these computer system accesses storage, the software will
Computing system is programmed or configured to the computing device of specialization from general-purpose calculating appts, and the computing device is implemented in current topic
One or more aspect or feature held.Any properly programmed, script either other kinds of language or language combination
It can be used in the teaching that will implement to include here in the software that used when computing device is being programmed or configured.
The aspects of method disclosed herein can be performed in the operation of such computing device.It can change in the above
The order of the block presented in example --- block for example can be resequenced to, combined and/or resolved into sub-block.It can perform parallel
Some pieces or process.
Although this subject content is described in detail in the specific aspect and feature on this subject content, it will be understood that this
Field those of ordinary skill obtain can easily be produced during understanding above change to such aspect and feature, change and
Equivalent.It will thus be appreciated that present disclosure is presented by example and without limitation and does not exclude to wrap
Including those of ordinary skill in the art such as will be readily apparent to modification, change and/or addition this subject content.
Claims (20)
1. a kind of method for being used to change the input image data for mixed image optical projection system, the input image data generation
Table input picture, methods described include：
The input image data is divided at least two picture portions by the content based on the input picture；
It is determined that the parameter at least two picture portion, at least one parameter is directed at least two picture portion
Each picture portion and be determined；
By producing the first picture content and the second picture content based on input picture described in the parameter decomposition, described first
Picture content is orthogonal or accurate orthogonal with second picture content；
Described first image component is shown by the first display device；And
Second picture content is shown by the second display device, second picture content is superimposed on described first image point
To produce final image in amount.
2. according to the method for claim 1, wherein the content based on the input picture draws the input image data
Being divided at least two picture portions includes：Based on the image-region grain details in the input picture by the input picture number
According to being divided at least two picture portion.
3. according to claim 1 or claim 2, wherein at least two picture portion include the first picture portion and
With with different size of second picture portion of described first image subregion.
It is 4. according to the method for claim 1, wherein described by being produced based on input picture described in the parameter decomposition
First picture content and second picture content include decomposing the input picture by following operation：
To the parameter interpolation to produce described first image component；And
The multiple of the input picture and the difference of described first image component are calculated, to produce second picture content.
5. according to the method for claim 4, wherein the multiple of the input picture is based on superposition at least described first
The projection for including at least described first display device and second display device of picture content and second picture content
The number of instrument.
6. according to claim 1 or claim 2, wherein the final image includes and shown by single projector systems
The bright brightness of the input picture at least twice.
7. according to claim 1 or claim 2, wherein the parameter includes：
First parameter, first parameter are the luminance balance factors；And
Second parameter, second parameter are the minimum values of each picture portion at least two picture portion,
Wherein producing described first image component includes：
The minimum value of each picture portion at least two picture portion is changed using first parameter；And
Using linear or non-linear process, by second ginseng of each picture portion at least two picture portion
Number is interpolated into lower boundary surface.
8. according to the method described in claim 4 or 5, in addition to：
By on the second picture content described in predefined restriction analysis determining that described first image component will be changed；And
In response to determining that described first image component will be changed, described first image component and second picture content are changed,
And calculate the difference of the multiple of the input picture and the first picture content of modification.
9. according to the method for claim 8, wherein the predefined limitation is based on brightness.
10. according to the method for claim 8, wherein the predefined limitation is based on the original colourity of reservation.
11. the method according to claim 11, in addition to：
Each color applied to the input image data.
12. according to the method for claim 11, wherein the color includes red, green and blue.
13. according to claim 1 or claim 2, in addition to：
By the way that gamma process will be gone to be applied to the input image data to produce view data.
14. according to claim 1 or claim 2, in addition to：
Before display described first image component and display second picture content,
HDR bracket function is applied to described first image component and second picture content；
Distortion is applied to described first image component or second picture content；Or
Gamma correction is applied to described first image component and second picture content.
15. the method according to claim 11, in addition to：
The value of described first image component or at least one picture content in second picture content is identified, described value is
The negative high-high brightness that projection is either arranged to more than first display device or second display device；And
Reduced by changing described value described at least one in described first image component or second picture content
Visual image artifact in picture content.
It is 16. according to the method for claim 1, wherein described by being produced based on input picture described in the parameter decomposition
First picture content and second picture content decompose the input picture including the use of resolution filter；And
For each picture portion at least two picture portion, it is described to adjust based on the content of the input picture
Resolution filter.
17. a kind of multi-projector system, it is arranged to perform described in any claim in claim 1 to 16
Method, the multi-projector system include processor, first display device, second display device and systemic-function mould
Block.
18. a kind of multi-projector system, including：
Input, it is arranged to receive the input image data of representative image；
Processor, be configured to get off processing as described in input image data and based on the input image data come
Export the first picture content and the second picture content：Image content-based divides the image into picture portion, it is determined that being used for
The parameter of described image subregion and by described image resolve into described first image component and with described first image component just
Hand over or quasi-orthogonal second picture content, the parameter include be directed to described image subregion in each picture portion and
The picture breakdown parameter being determined；
System function module, it is arranged to change described first image component and for changing second picture content；
First projecting apparatus, it is arranged to the described first image component of display modification；And
Second projecting apparatus, it is arranged to be shown in second figure for the modification being superimposed on the described first image component of modification
As component.
19. system according to claim 18, wherein the processor is arranged to that gamma process will be gone to be applied to institute
State input image data.
20. according to the system described in claim 18 or 19, wherein the system function module is arranged to described
Before one picture content and second picture content are shown, to described first image component or second picture content
In at least one picture content application：
HDR rounds；
Gamma correction；Or
Distortion.
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Families Citing this family (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103765869B (en) | 2011-08-16 | 2017-12-12 | 图像影院国际有限公司 | Mixed image is decomposed and projection |
| US9503711B2 (en) | 2011-10-20 | 2016-11-22 | Imax Corporation | Reducing angular spread in digital image projection |
| JP6147262B2 (en) | 2011-10-20 | 2017-06-14 | アイマックス コーポレイション | Invisibility or low perceptibility of image alignment in dual projection systems |
| US9292959B2 (en) * | 2012-05-16 | 2016-03-22 | Digizig Media Inc. | Multi-dimensional stacking with self-correction |
| US9420121B2 (en) * | 2012-09-28 | 2016-08-16 | Interactive Memories Inc. | Method for tracking theme-based digital assets for clients engaged in image-based project creation through an electronic interface |
| US20140210965A1 (en) * | 2013-01-31 | 2014-07-31 | Jason David Goodman | Method for Securing Visual Media Utilizing Encoding Process With Optical Translation for Decoded Image Viewing |
| US9973677B2 (en) * | 2013-10-14 | 2018-05-15 | Qualcomm Incorporated | Refocusable images |
| US20150244946A1 (en) * | 2013-11-04 | 2015-08-27 | Sos Agaian | Method and systems for thermal image / video measurements and processing |
| US9727949B1 (en) * | 2014-11-19 | 2017-08-08 | Google Inc. | Providing secure digital images |
| KR101629825B1 (en) * | 2014-12-04 | 2016-06-22 | 현대모비스 주식회사 | Display apparatus and method using high dynamic range for vehicle |
| JP6558088B2 (en) * | 2015-06-12 | 2019-08-14 | リコーイメージング株式会社 | Imaging apparatus, imaging control apparatus, and imaging control method |
| US10324167B2 (en) * | 2016-09-12 | 2019-06-18 | The Boeing Company | Systems and methods for adding functional grid elements to stochastic sparse tree grids for spatial filtering |
| RU2642350C1 (en) * | 2016-12-29 | 2018-01-24 | Самсунг Электроникс Ко., Лтд. | Imaging system (versions for implementation) |
| US10609350B1 (en) * | 2017-01-09 | 2020-03-31 | Amazon Technologies, Inc. | Multiple frequency band image display system |
| US11037526B2 (en) * | 2017-04-24 | 2021-06-15 | Hewlett-Packard Development Company, L.P. | Ambient light color compensation |
| WO2018205036A1 (en) * | 2017-05-12 | 2018-11-15 | Mtt Innovation Incorporated | High brightness projection systems and methods |
| US10834372B2 (en) | 2017-06-05 | 2020-11-10 | Massachusetts Institute Of Technology | 3DTV at home: Eulerian-Lagrangian stereo-to-multi-view conversion |
| CN108173779B (en) * | 2017-11-23 | 2018-11-16 | 泰山医学院 | A kind of router automatic stand-by system |
| CN113196754B (en) | 2018-12-19 | 2023-10-03 | 杜比实验室特许公司 | Method for reducing banding artifacts, and computer readable storage medium |
| JP7251334B2 (en) * | 2019-06-10 | 2023-04-04 | コニカミノルタ株式会社 | Image processing device, image forming device, display device, image processing program, and image processing method |
| US11368456B2 (en) | 2020-09-11 | 2022-06-21 | Bank Of America Corporation | User security profile for multi-media identity verification |
| US11356266B2 (en) | 2020-09-11 | 2022-06-07 | Bank Of America Corporation | User authentication using diverse media inputs and hash-based ledgers |
| CN116452437B (en) * | 2023-03-20 | 2023-11-14 | 荣耀终端有限公司 | High dynamic range image processing method and electronic equipment |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6703988B1 (en) * | 1999-07-08 | 2004-03-09 | Fergason Patent Properties, Llc | Monitor for showing high-resolution and three-dimensional images and method |
| CN1735173A (en) * | 2004-08-11 | 2006-02-15 | 精工爱普生株式会社 | Display apparatus and image information generating method adapted to display apparatus |
| CN101180873A (en) * | 2005-04-26 | 2008-05-14 | 图象公司 | Electronic projection systems and methods |
Family Cites Families (105)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE2827622A1 (en) | 1978-06-23 | 1980-01-03 | Heinz Arnold | Montage slide projection appts. - provides masking facility for combination with second projector for montage inset |
| US4523226A (en) | 1982-01-27 | 1985-06-11 | Stereographics Corporation | Stereoscopic television system |
| US4868773A (en) | 1985-03-15 | 1989-09-19 | Purdue Research Foundation | Digital filtering by threshold decomposition |
| EP0393906B1 (en) | 1989-04-21 | 1994-01-19 | Sony Corporation | Video signal interpolation |
| GB2262854B (en) | 1991-12-24 | 1995-05-24 | Sony Broadcast & Communication | Image processing apparatus |
| US5488429A (en) | 1992-01-13 | 1996-01-30 | Mitsubishi Denki Kabushiki Kaisha | Video signal processor for detecting flesh tones in am image |
| FR2690031A1 (en) * | 1992-04-14 | 1993-10-15 | Philips Electronique Lab | Segmentation device of images. |
| JP3149303B2 (en) | 1993-12-29 | 2001-03-26 | 松下電器産業株式会社 | Digital image encoding method and digital image decoding method |
| JPH07294866A (en) | 1994-04-27 | 1995-11-10 | Mitsubishi Electric Corp | Projector device |
| JPH08168039A (en) | 1994-12-14 | 1996-06-25 | Nippon Telegr & Teleph Corp <Ntt> | Projection display system and projection position adjusting method |
| US5790086A (en) | 1995-01-04 | 1998-08-04 | Visualabs Inc. | 3-D imaging system |
| JPH0946553A (en) | 1995-07-26 | 1997-02-14 | Graphics Commun Lab:Kk | Filter |
| DE19545356C2 (en) | 1995-12-05 | 1998-04-16 | Deutsche Telekom Ag | Device for displaying stereo video images |
| GB2311432B (en) | 1996-03-20 | 2000-05-03 | Sony Uk Ltd | Method and apparatus for processing an input image |
| GB2311431B (en) | 1996-03-20 | 2000-02-23 | Sony Uk Ltd | Method and apparatus for deviding an input image into a plurality of images of different frequency bandwidths |
| JP3735158B2 (en) | 1996-06-06 | 2006-01-18 | オリンパス株式会社 | Image projection system and image processing apparatus |
| JP4456185B2 (en) | 1997-08-29 | 2010-04-28 | 富士通株式会社 | Visible watermarked video recording medium with copy protection function and its creation / detection and recording / playback device |
| ES2258856T3 (en) | 1998-07-09 | 2006-09-01 | Svyatoslav Ivanovich Arsenich | PROJECTION SYSTEM. |
| US6310650B1 (en) | 1998-09-23 | 2001-10-30 | Honeywell International Inc. | Method and apparatus for calibrating a tiled display |
| US6278434B1 (en) | 1998-10-07 | 2001-08-21 | Microsoft Corporation | Non-square scaling of image data to be mapped to pixel sub-components |
| US6396505B1 (en) | 1998-10-07 | 2002-05-28 | Microsoft Corporation | Methods and apparatus for detecting and reducing color errors in images |
| JP3706264B2 (en) | 1998-12-21 | 2005-10-12 | 日本放送協会 | Projection type multi-screen display device |
| JP3445759B2 (en) | 1999-08-05 | 2003-09-08 | 日本電信電話株式会社 | Automatic pixel position adjustment device |
| US7079157B2 (en) | 2000-03-17 | 2006-07-18 | Sun Microsystems, Inc. | Matching the edges of multiple overlapping screen images |
| JP2001339742A (en) | 2000-03-21 | 2001-12-07 | Olympus Optical Co Ltd | Three dimensional image projection apparatus and its correction amount calculator |
| US6760075B2 (en) | 2000-06-13 | 2004-07-06 | Panoram Technologies, Inc. | Method and apparatus for seamless integration of multiple video projectors |
| WO2002003687A2 (en) * | 2000-07-03 | 2002-01-10 | Imax Corporation | Equipment and techniques for increasing the dynamic range of a projection system |
| JP5113971B2 (en) | 2000-07-03 | 2013-01-09 | アイマックス コーポレイション | Processing technique and apparatus for superimposing images for projection |
| ATE453147T1 (en) | 2000-07-05 | 2010-01-15 | Smart Technologies Ulc | METHOD FOR A CAMERA BASED TOUCH SYSTEM |
| US6804406B1 (en) | 2000-08-30 | 2004-10-12 | Honeywell International Inc. | Electronic calibration for seamless tiled display using optical function generator |
| WO2002100089A2 (en) | 2001-06-06 | 2002-12-12 | Spitz, Inc. | Video-based immersive theater |
| US6733138B2 (en) | 2001-08-15 | 2004-05-11 | Mitsubishi Electric Research Laboratories, Inc. | Multi-projector mosaic with automatic registration |
| US7002533B2 (en) | 2001-08-17 | 2006-02-21 | Michel Sayag | Dual-stage high-contrast electronic image display |
| US6567217B1 (en) | 2001-11-06 | 2003-05-20 | Eastman Kodak Company | Image-forming system with enhanced gray levels |
| AU2003210440A1 (en) | 2002-01-04 | 2003-07-24 | Neurok Llc | Three-dimensional image projection employing retro-reflective screens |
| US7127084B1 (en) | 2002-03-22 | 2006-10-24 | Mauk Jamey R | Method of creating digital composite files of superimposed images |
| JP2003348501A (en) | 2002-05-23 | 2003-12-05 | Olympus Optical Co Ltd | Image display device |
| CA2503090C (en) | 2002-10-21 | 2012-10-02 | Imax Corporation | Equipment, systems and methods for control of color in projection displays |
| US7019713B2 (en) | 2002-10-30 | 2006-03-28 | The University Of Chicago | Methods and measurement engine for aligning multi-projector display systems |
| US7215362B2 (en) | 2002-10-31 | 2007-05-08 | Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.V. | Auto-calibration of multi-projector systems |
| US6758565B1 (en) | 2003-03-20 | 2004-07-06 | Eastman Kodak Company | Projection apparatus using telecentric optics |
| US7097311B2 (en) | 2003-04-19 | 2006-08-29 | University Of Kentucky Research Foundation | Super-resolution overlay in multi-projector displays |
| US7417601B2 (en) * | 2003-05-20 | 2008-08-26 | Samsung Electronics Co., Ltd. | Projector systems |
| JP3852934B2 (en) * | 2003-05-20 | 2006-12-06 | 株式会社バンダイナムコゲームス | Image processing system, program, and information storage medium |
| ITMI20031449A1 (en) * | 2003-07-15 | 2005-01-16 | St Microelectronics Srl | METHOD FOR CLASSIFYING A DIGITAL IMAGE |
| GB2404546B (en) | 2003-07-25 | 2005-12-14 | Purple Interactive Ltd | A method of organising and displaying material content on a display to a viewer |
| JP4150308B2 (en) | 2003-08-01 | 2008-09-17 | 日産ディーゼル工業株式会社 | Exhaust purification device |
| CN100454140C (en) | 2003-09-19 | 2009-01-21 | 邓兴峰 | Screen division stereoscopic photography projection instrument |
| JP2005123856A (en) | 2003-10-16 | 2005-05-12 | Ricoh Co Ltd | System and method for processing picture, program and information recording medium |
| US7339625B2 (en) | 2004-06-28 | 2008-03-04 | Barco N.V. | Optical and electrical blending of display images |
| US7111941B2 (en) | 2004-08-25 | 2006-09-26 | Hewlett-Packard Development Company, L.P. | Method and apparatus for multiple-resolution light value projector |
| JP2006139057A (en) * | 2004-11-12 | 2006-06-01 | Seiko Epson Corp | Image display device, image display method, program capable of executing this method with computer, and computer readable recording medium with this program recorded thereon |
| JP4026649B2 (en) | 2005-02-16 | 2007-12-26 | セイコーエプソン株式会社 | Projector, projector control method, projector control program, and storage medium storing the program |
| US7522220B2 (en) | 2005-03-30 | 2009-04-21 | Samsung Electronics Co., Ltd. | Dual-channel adaptive 2D noise reduction for video signals |
| US8453148B1 (en) * | 2005-04-06 | 2013-05-28 | Teradici Corporation | Method and system for image sequence transfer scheduling and restricting the image sequence generation |
| KR100696107B1 (en) | 2005-04-11 | 2007-03-19 | 삼성전자주식회사 | display apparatus and control method thereof |
| RU2322771C2 (en) | 2005-04-25 | 2008-04-20 | Святослав Иванович АРСЕНИЧ | Stereo-projection system |
| US7676072B2 (en) | 2005-06-15 | 2010-03-09 | Kabushiki Kaisha Toshiba | Image processing apparatus and image processing method |
| US20070024764A1 (en) | 2005-07-29 | 2007-02-01 | Optoma Technology, Inc. | Methods and systems that compensate for distortion introduced by anamorphic lenses in a video projector |
| US20070091277A1 (en) | 2005-10-26 | 2007-04-26 | Niranjan Damera-Venkata | Luminance based multiple projector system |
| US20070133794A1 (en) | 2005-12-09 | 2007-06-14 | Cloutier Frank L | Projection of overlapping sub-frames onto a surface |
| US20070132965A1 (en) | 2005-12-12 | 2007-06-14 | Niranjan Damera-Venkata | System and method for displaying an image |
| US8182099B2 (en) | 2005-12-21 | 2012-05-22 | International Business Machines Corporation | Noise immune optical encoder for high ambient light projection imaging systems |
| US8777418B2 (en) | 2006-01-26 | 2014-07-15 | Christie Digital Systems Usa, Inc. | Calibration of a super-resolution display |
| US7866832B2 (en) | 2006-02-15 | 2011-01-11 | Mersive Technologies, Llc | Multi-projector intensity blending system |
| US9497445B2 (en) | 2006-04-19 | 2016-11-15 | Setred As | High speed display shutter for autostereoscopic display |
| US7740361B2 (en) | 2006-04-21 | 2010-06-22 | Mersive Technologies, Inc. | Alignment optimization in image display systems employing multi-camera image acquisition |
| US7538876B2 (en) * | 2006-06-12 | 2009-05-26 | The Boeing Company | Efficient and accurate alignment of stereoscopic displays |
| US7677737B2 (en) | 2006-08-17 | 2010-03-16 | Sony Ericsson Mobile Communications Ab | Projector adaptation for self-calibration |
| US20080101725A1 (en) | 2006-10-26 | 2008-05-01 | I-Jong Lin | Image display system configured to update correspondences using arbitrary features |
| US7742011B2 (en) * | 2006-10-31 | 2010-06-22 | Hewlett-Packard Development Company, L.P. | Image display system |
| US7891818B2 (en) | 2006-12-12 | 2011-02-22 | Evans & Sutherland Computer Corporation | System and method for aligning RGB light in a single modulator projector |
| US20080143969A1 (en) | 2006-12-15 | 2008-06-19 | Richard Aufranc | Dynamic superposition system and method for multi-projection display |
| US8042954B2 (en) * | 2007-01-24 | 2011-10-25 | Seiko Epson Corporation | Mosaicing of view projections |
| US7936361B2 (en) | 2007-04-30 | 2011-05-03 | Hewlett-Packard Development Company, L.P. | System and method for masking and overlaying images in multiple projector system |
| JP5299275B2 (en) | 2007-05-25 | 2013-09-25 | 日本電気株式会社 | Image processing apparatus and method, program, and display apparatus |
| US8803922B2 (en) * | 2007-05-30 | 2014-08-12 | Apple Inc. | Methods and apparatuses for increasing the apparent brightness of a display |
| JP2009008974A (en) * | 2007-06-29 | 2009-01-15 | Sony Corp | Image generation apparatus and method, program, and record medium |
| US8142026B2 (en) | 2007-07-25 | 2012-03-27 | Hewlett-Packard Development Company, L.P. | Projector alignment in a multiple-projector projection system |
| US7954954B2 (en) | 2007-07-31 | 2011-06-07 | Hewlett-Packard Development Company, L.P. | System and method of projecting an image using a plurality of projectors |
| US8319699B2 (en) * | 2007-08-09 | 2012-11-27 | Barco N.V. | Multiple display channel system with high dynamic range |
| JP4372815B2 (en) | 2007-08-30 | 2009-11-25 | 三菱電機株式会社 | Image projection device |
| JP4458159B2 (en) * | 2007-12-11 | 2010-04-28 | セイコーエプソン株式会社 | Signal conversion device, video projection device, and video projection system |
| US7551341B1 (en) * | 2008-01-28 | 2009-06-23 | Dolby Laboratories Licensing Corporation | Serial modulation display having binary light modulation stage |
| JP5217497B2 (en) | 2008-02-26 | 2013-06-19 | ソニー株式会社 | Image projection system, control apparatus, image projection method, program, and recording medium |
| US8016426B2 (en) | 2008-02-27 | 2011-09-13 | 6115187 Canada Inc. | Method and device for projecting a panoramic image with a variable resolution |
| JP2009260932A (en) * | 2008-03-26 | 2009-11-05 | Seiko Epson Corp | Image processing apparatus and image processing method in multi-projection system, and multi-projection system |
| US7997735B2 (en) | 2008-03-27 | 2011-08-16 | Corning Incorporated | Systems and methods for speckle reduction |
| US8134591B2 (en) * | 2008-05-07 | 2012-03-13 | Eastman Kodak Company | Display using bidirectionally scanned linear modulator |
| JP5343441B2 (en) * | 2008-08-05 | 2013-11-13 | セイコーエプソン株式会社 | Image processing apparatus, image display apparatus, image processing method, image display method, and program |
| DE102008043153A1 (en) | 2008-10-24 | 2010-04-29 | Robert Bosch Gmbh | Method for creating an image as well as projector and mobile phone with a projector |
| US9098926B2 (en) * | 2009-02-06 | 2015-08-04 | The Hong Kong University Of Science And Technology | Generating three-dimensional façade models from images |
| EP2386072A4 (en) | 2009-02-11 | 2013-11-27 | Hewlett Packard Development Co | Multi-projector system and method |
| WO2010147451A1 (en) | 2009-06-15 | 2010-12-23 | Mimos Berhad | An online orthogonal projection system |
| JP2011040958A (en) | 2009-08-10 | 2011-02-24 | Sony Corp | Image display device and image display method |
| JP5521855B2 (en) | 2009-09-10 | 2014-06-18 | 株式会社リコー | Projection image area detection device |
| US8310499B2 (en) | 2009-09-10 | 2012-11-13 | Seiko Epson Corporation | Balancing luminance disparity in a display by multiple projectors |
| JP5573215B2 (en) | 2010-02-12 | 2014-08-20 | セイコーエプソン株式会社 | Projector and anamorphic prism optical unit |
| US8237873B2 (en) | 2010-03-24 | 2012-08-07 | Seiko Epson Corporation | Method for creating blending ramps for complex projector image overlaps |
| US8842222B2 (en) | 2010-04-18 | 2014-09-23 | Imax Corporation | Double stacked projection |
| RU2575981C2 (en) | 2010-06-21 | 2016-02-27 | АЙМАКС Юроп СА | Double stacked projection |
| US9398278B2 (en) | 2011-01-06 | 2016-07-19 | Telenav, Inc. | Graphical display system with adaptive keystone mechanism and method of operation thereof |
| CN103765869B (en) | 2011-08-16 | 2017-12-12 | 图像影院国际有限公司 | Mixed image is decomposed and projection |
| US9503711B2 (en) | 2011-10-20 | 2016-11-22 | Imax Corporation | Reducing angular spread in digital image projection |
| JP6147262B2 (en) | 2011-10-20 | 2017-06-14 | アイマックス コーポレイション | Invisibility or low perceptibility of image alignment in dual projection systems |
-
2012
- 2012-08-14 CN CN201280039723.1A patent/CN103765869B/en active Active
- 2012-08-14 JP JP2014525544A patent/JP2014529756A/en active Pending
- 2012-08-14 US US14/238,585 patent/US9305384B2/en active Active
- 2012-08-14 EP EP20158025.5A patent/EP3675481A1/en active Pending
- 2012-08-14 EP EP12824048.8A patent/EP2745505B1/en active Active
- 2012-08-14 CA CA2842572A patent/CA2842572C/en active Active
- 2012-08-14 WO PCT/IB2012/054133 patent/WO2013024430A1/en active Application Filing
-
2016
- 2016-02-09 US US15/019,306 patent/US9961316B2/en active Active
-
2018
- 2018-03-28 JP JP2018062530A patent/JP6644103B2/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6703988B1 (en) * | 1999-07-08 | 2004-03-09 | Fergason Patent Properties, Llc | Monitor for showing high-resolution and three-dimensional images and method |
| CN1735173A (en) * | 2004-08-11 | 2006-02-15 | 精工爱普生株式会社 | Display apparatus and image information generating method adapted to display apparatus |
| CN101180873A (en) * | 2005-04-26 | 2008-05-14 | 图象公司 | Electronic projection systems and methods |
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| EP2745505A1 (en) | 2014-06-25 |
| EP2745505A4 (en) | 2015-04-15 |
| US9305384B2 (en) | 2016-04-05 |
| JP2014529756A (en) | 2014-11-13 |
| CA2842572C (en) | 2020-10-13 |
| JP2018137789A (en) | 2018-08-30 |
| US9961316B2 (en) | 2018-05-01 |
| CA2842572A1 (en) | 2013-02-21 |
| CN103765869A (en) | 2014-04-30 |
| JP6644103B2 (en) | 2020-02-12 |
| EP3675481A1 (en) | 2020-07-01 |
| US20140192076A1 (en) | 2014-07-10 |
| WO2013024430A1 (en) | 2013-02-21 |
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| US20160165199A1 (en) | 2016-06-09 |
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